Professor Armando Apan

Fields of Research (FoR)

• Geospatial Information Systems ( 090903 )
  

• Environmental Science and Management ( 050200 )
  

• Photogrammetry and Remote Sensing ( 090905 )
  

• Environmental Sciences ( 410000 )
  

• Geospatial Information Systems And Geospatial Data Modelling ( 401302 )
  

• Photogrammetry And Remote Sensing ( 401304 )
  

Research interests
Remote sensing and GIS to observe terrestrial ecosystems and their responses to environmental / climate change
Detection and mapping of crop / vegetation stress using hyperspectral and multispectral imagery
Vegetation and habitat mapping; biodiversity assessment using geospatial technologies
Flood mapping and monitoring
Land use/cover change analysis using GIS and imagery
Crop area, stress and yield mapping

Professional memberships
Fellow, Surveying and Spatial Science Institute (Australia)

USQ Research affiliations

• Institute for Life Sciences and the Environment (ILSE)
  

• Centre for Sustainable Agricultural Systems (CSAS)
  

Currently teaching courses/programs
GIS3405 Remote Sensing and Image Processing
GIS1402 Geographic Information Systems
GIS3405 Spatial Analysis and Modelling
ENG4111 / 2 Research Project
GIS3404 Geographic Data Visualisation

Teaching experience(Tertiary)
22 Years

Publications in ePrints

Dayal, Kavina S. and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Apan, Armando A.ORCID: https://orcid.org/0000-0002-5412-8881 (2021) Intelligent data analytics for time series, trend analysis and drought indices comparison. In: Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation. Springer Transactions in Civil and Environmental Engineering. Springer, Singapore, pp. 151-169. ISBN 978-981-15-5771-2

Pant, Ganesh ORCID: https://orcid.org/0000-0002-1463-9273 and Maraseni, Tek and Apan, ArmandoORCID: https://orcid.org/0000-0002-5412-8881 and Allen, Benjamin L.ORCID: https://orcid.org/0000-0002-1533-0163 (2020) Climate change vulnerability of Asia’s most iconic megaherbivore: greater one-horned rhinoceros (Rhinoceros unicornis). Global Ecology and Conservation, 23:e01180. pp. 1-14.

Dayal, Kavina S. and Deo, Ravinesh C.ORCID: https://orcid.org/0000-0002-2290-6749 and Apan, Armando A.ORCID: https://orcid.org/0000-0002-5412-8881 (2020) Development of copula statistical drought prediction model using the Standardized Precipitation-Evapotranspiration Index. In: Handbook of probabilistic models. Elsevier (Butterworth-Heinemann), Oxford, United Kingdom, pp. 141-178. ISBN 978-0-12-816514-0

Phung, Hoang-Phi and Lam-Dao, Nguyen and Nguyen-Huy, ThongORCID: https://orcid.org/0000-0002-2201-6666 and Le-Toan, Thuy and Apan, Armando A.ORCID: https://orcid.org/0000-0002-5412-8881 (2020) Monitoring rice growth status in the Mekong Delta, Vietnam using multitemporal Sentinel-1 data. Journal of Applied Remote Sensing, 14 (1):014518. 014518-1.

Haerani, Haerani and Apan, ArmandoORCID: https://orcid.org/0000-0002-5412-8881 and Basnet, Badri (2020) The climate-induced alteration of future geographic distribution of aflatoxin in peanut crops and its adaptation options. Mitigation and Adaptation Strategies for Global Change, 25 (6). pp. 1149-1175. ISSN 1381-2386

View full listing in ePrints

Approved research supervisor in the area of:

• Geospatial Information Systems ( 090903 )
  

• Photogrammetry and Remote Sensing ( 090905 )
  

• Environmental Sciences ( 410000 )
  

• Geospatial Information Systems And Geospatial Data Modelling ( 401302 )
  

• Photogrammetry And Remote Sensing ( 401304 )